Triple

T21944892
Position Surface form Disambiguated ID Type / Status
Subject Chandni Bar E541909 entity
Predicate screenwriter P2831 FINISHED
Object Madhur Bhandarkar NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Madhur Bhandarkar | Statement: [Chandni Bar, screenwriter, Madhur Bhandarkar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madhur Bhandarkar
Context triple: [Chandni Bar, screenwriter, Madhur Bhandarkar]
  • A. Madhur Bhandarkar chosen
    Madhur Bhandarkar is a National Award–winning Indian film director known for his hard-hitting, realistic portrayals of urban society in Hindi cinema.
  • B. Nagraj Manjule
    Nagraj Manjule is an acclaimed Indian filmmaker and screenwriter known for his socially conscious, award-winning Marathi films such as "Fandry" and "Sairat."
  • C. Amole Gupte
    Amole Gupte is an Indian filmmaker, screenwriter, and actor known for his socially conscious storytelling and work on critically acclaimed Hindi films.
  • D. Amit Masurkar
    Amit Masurkar is an Indian film director and screenwriter best known for critically acclaimed Hindi films like "Sulemani Keeda" and the political satire "Newton."
  • E. Tigmanshu Dhulia
    Tigmanshu Dhulia is an Indian filmmaker, screenwriter, and actor known for his gritty storytelling in films like "Paan Singh Tomar" and his influential work in Hindi cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.